AI Engineer_ MLOPs_ 3 to 5yrs
Fractal (company site, opens in a new tab)3–5 yrsBengaluruOn-siteDirect career pageEst. 12–25 LPA
Posted on 15 Sept
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Job description
Structured overview of role & requirements
About This Role
- Collaborate with Data Scientists and Data Engineers to deploy and operate advanced ML models and automate model development and operations.
- Build and maintain scalable ML pipelines and MLOps components using tools like MLFlow, Kubeflow, and other ML platform services on cloud or on-prem environments.
- Troubleshoot and resolve issues in development, testing, and production; contribute to client business development and delivery across multiple domains.
Minimum Requirements
- 3-5 years experience building production-quality software especially in System Integration, Application Development, or DataWarehouse projects.
- Proficient in object-oriented programming languages such as Python, PySpark, Java, C#, or C++ and basic knowledge of MLOps, ML, Docker.
- Experience with CI/CD pipelines for ML, SQL databases, Git source control, and foundational knowledge of at least one major cloud platform (AWS, Azure, or GCP).
- Bachelor’s or Master’s degree in Computer Science or related technical field (B.E/B.Tech/M.Tech or equivalent).
Ideal Candidate Profile
- Hands-on experience across all phases of the ML development life cycle with a focus on MLOps automation and scalable pipeline development.
- Comfortable working in fast-paced, collaborative environments involving cross-functional teams and client engagements.
- Experienced in building cloud-based and on-prem ML deployment and monitoring solutions with problem-solving and project management capabilities.